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首页> 外文期刊>JMIR Medical Informatics >Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Troms? Study - Part 1): Population-Based Questionnaire Study
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Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Troms? Study - Part 1): Population-Based Questionnaire Study

机译：挪威18,497名受访者的代表性样本中的电子健康（第七个Troms？研究 - 第1部分）：基于人口的问卷研究

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Background Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. Objective The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services. Methods Data were collected through a questionnaire given to participants in the seventh survey of the Troms? Study (Troms? 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses. Results Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being younger (40-49 year age group: OR 1.72, 95% CI 1.34-2.22), having a higher education (tertiary/long: OR 1.65, 95% CI 1.42-1.92), having seen a GP in the last year (OR 1.58, 95% CI 1.41-1.77), and having ever had a disease (such as heart disease, cancer or asthma; OR 1.26, 95% CI 1.14-1.39). Conclusions eHealth appears to be an essential supplement to traditional health services for those aged above 40 years old, and especially so for the more resourceful. Being a woman, being younger, having higher education, having had a disease, and having seen a GP in the last year all positively predicted using the internet to get health information and taking some action based on this information.
机译：背景技术电子健康（电子健康）服务可以帮助人们获得信息并管理其健康，并且随着技术的提高，他们正在受到关注，并且随着传统的卫生服务在越来越大的压力下被置于越来越大的卫生服务。我们在挪威的第一个代表性，大规模，基于人口的基于母羊使用研究中的研究结果呈现出来。目的本研究的目的是审查eHealth在40岁以上的人口中，eHealth使用的预测因子以及在使用这些电子商务服务后采取行动的预测因素。方法通过对TROMS第七次调查的参与者调查问卷收集数据吗？研究（Troms？7）。该研究涉及40岁以上挪威人口的代表性样本。更广泛的问卷的子集明确与电子卫生使用。使用Logistic回归分析分析数据。结果大约一半（52.7％; 9752/18,497）的受访者在去年使用某种形式的电子健康服务。关于采取一些基于使用电子卫生服务服务获得的信息的问题约为58％（5624/9698）的参与者已完成。作为一个女性的变量（或1.58; 95％CI 1.47-1.68），年龄较小（40-49岁），具有高等教育（第三次/长期的4.28，95％CI 3.63-5.04），或者3.77，95％CI 3.40-4.19），收入较高（> 100万克朗[UN $ 10,000]：或2.19,95％CI 1.77-2.70）全力以赴预测电子健康服务的使用。与配偶（或1.14,95％CI 1.04-1.25）不居住，在去年（或1.66,95％CI 1.53-1.80）看到一般从业者（GP），并患有一些疾病（如心脏疾病，癌症，哮喘等;或1.29,95％CI 1.18-1.41）也有积极预测的电子医疗使用。自我评价的健康状况没有显着影响eHealth使用。在eHealth使用之后采取一些行动，预计是一个女人的变量（或1.16,95％CI 1.07-1.27），更年轻（40-49岁）：或者1.72,95％CI 1.34-22），有一个高等教育（第三次/长：或1.65,95％CI 1.42-1.92），在去年（或1.58,95％CI 1.41-1.77），并且患有疾病（如心脏病，癌症或哮喘;或1.26,95％CI 1.14-1.39）。结论EHEALTION似乎是传统卫生服务的必要补充，适合40岁以上的人，特别是对于更灵通的人。作为一个女人，拥有更高的教育，患有疾病，并且在去年中看到了GP，所有这些都会通过互联网来获得健康信息并根据这些信息进行一些动作。

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